Rodrigo de Vasconcelos

Universidade Estadual de Feira de Santana | UEFS · Department of Sciences (DEXA)

The oil spill is one of the most impactful sources of marine pollution on the ocean surface, detected by the SAR sensors as dark areas, regions with low backscatter values. Due to the complex mixture of hydrophobic hydrocarbons, mineral oil spills change the water surface tension dampening the capillary gravity waves and provoking a specular reflec...

Drylands are vast and face threats from climate change and human activities. Traditional reviews cannot capture interdisciplinary knowledge, but bibliometric analysis provides valuable insights. Our study conducted bibliometric research of scientific production on climate change and land degradation in drylands using remote sensing. We examined 152...

The characterization of irregular patterns in images has become a focal point in numerous studies due to its relevance in various applications. In particular, images depicting natural phenomena exhibit intricate patterns with unique irregularities, such as self-similarity and scaling. The classification of these phenomena based on their patterns ha...

Oil spill detection and mapping using deep learning (OSDMDL) is crucial for assessing its impact on coastal and marine ecosystems. A novel approach was employed in this study to evaluate the scientific literature in this field through bibliometric analysis and literature review. The Scopus database was used to evaluate the relevant scientific liter...

The detection and mapping of surface water resources for South America (DMSWSA) in Remote sensing context is a highly relevant issue from a scientific point of view due to the impact on the understanding of changes in the hydrological cycle, water availability, and climate in global terms since 45% of all water resources available on the globe are...

Avaliação do papel ecológico das reservas legais da floresta Atlântica da Bahia determinado pelo uso do solo Evaluation of the ecological role of legal reserves in the Atlantic Forest of Bahia as determined by land-use Evaluación del papel ecológico de las reservas legales en la Mata Atlántica de Bahía determinado por el uso del suelo RESUMO: As re...

2022) Oil spill detection based on texture analysis: how does feature importance matter in classification? ABSTRACT Oil spill mapping and detection represent a relevant issue from an environmental point of view, given the effects on marine ecosystems. This study presents a new feature space assessment protocol for oil spill mapping using the Google...

The current study aimed to obtain dose conversion coefficients for marine animals due to an oil spill accident using two variables: crude oil activity concentration and organism depth. Thorium series presented a dose contribution twice that uranium series for similar conditions. Bi-214 and Tl-208 stood out for delivering a higher dose rate for uran...

Abstract Three SAR-derived observations of dark surface patches along the Northeastern Brazilian coastline by the end of 2019 were misreported in the Brazilian media as oil spill-related. Unfortunately, these observations were misled by false positives or look-alikes. Therefore, this paper aims to technically evaluate these look-alike classes by an...

To effectively combat the COVID-19 pandemic, countries with limited resources could only allocate intensive and non-intensive care units to a low number of regions. In this work, we evaluated the actual displacement of infected patients in search of care, aiming to understand how the networks of planned and actual hospitalizations take place. To as...

To effectively combat the COVID-19 pandemic, the state government of Bahia, Brazil, has distributed intensive and non-intensive care units along the nine regions that divide the state of Bahia, such that COVID-19 patients could be easily hospitalized in health care units located at the same regions where they live. However, the observed hospitaliza...

A set of open-source routines capable of identifying possible oil-like spills based on two random forest classifiers were developed and tested with a Sentinel-1 SAR image dataset. The first random forest model is an ocean SAR image classifier where the labeling inputs were oil spills, biological films, rain cells, low wind regions, clean sea surfac...

A combination of bibliometric and science mapping methods was carried out to explore characteristics of scientific production on the application of orbital remote sensing in fire ecology. The performance analyzes made it possible to identify the main actors responsible for the knowledge (authors, institutions and countries) and the journals selecte...

The new Covid-19 pandemic has left traces of suffering and devastation to individuals of almost all countries worldwide and severe impact on the global economy. Understanding the clinical characteristics, interactions with the environment, and the variables that favor or hinder its dissemination help the public authorities in the fight and preventi...

As mudanças na estrutura e configuração das paisagens, oriundas de processos naturais ou antrópicos têm motivado um aumento nos estudos em Ecologia de Paisagens nos últimos anos. Os modelos neutros de paisagens surgem como uma possibilidade de entender tais mudanças, uma vez que a configuração e arranjo dos ambientes na paisagem são determinados po...

Oil spill detection and mapping (OSPM) is an extremely relevant issue from a scientific point of view due to the environmental impact on coastal and marine ecosystems. In this study, we present a new approach to assess scientific literature for the past 50 years. In this sense, our study aims to perform a bibliometric and network analysis using a l...

Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial...

In this study, methods, originally developed to assess life course trajectories, are explored in order to evaluate land change through the analysis of sequences of land use/cover. Annual land cover maps which describe land use/land cover change for the 1985–2017 period for a large region in Northeast Brazil were analyzed. The most frequent sequence...

Some nymphalid butterflies obtain their nutrients from fermented fruits or plant saps. They compose a guild known as "fruit-feeding butterflies," a recognized biological indicator. We gathered a huge data set of fruit-feeding butterfly communities in a recent paper for Ecology. The data set contains 7,062 records of 279 species from 122 locations,...

Durante os últimos anos, foram criados diferentes pacotes de R dirigidos à análise espacial. Ainda assim, existem poucos livros focados na análise espacial com R2. Este livro destina-se a usuários com conhecimento básico de Sistemas de Informação Geográfica (SIG) que desejam iniciar a gestão e análise de dados espaciais com R. Portanto, não requer...

Butterflies are one of the best-known insect groups, and they have been the subject of numerous studies in ecology and evolution, especially in the tropics. Much attention has been given to the fruit-feeding butterfly guild in biodiversity conservation studies, due to the relative ease with which taxa may be identified and specimens sampled using b...

Although the Earth Observing One (EO-1) satellite was launched as an experimental platform through NASA's New Millenium Program, it has completed more than seventeen years of activity, imaging the Earth through its two unique instruments, the Advanced Land Imager (ALI) and Hyperion. Hyperion in particular was the only hyperspectral instrument to ha...

Large areas in tropical countries were converted into Eucalyptus plantations for pulp production. Although these plantations are structurally more similar to native ecosystems than traditional short-lived crops, they can be less suitable for more sensitive species. Thus, it is important to know how they can harbor native biodiversity and contribute...

Este artigo propõe um método para mapear e qualificar a inserção social dos Programas de Pós-Graduação (PPG) na área de Ciências Ambientais da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). A construção do modelo consistiu na integração espacial de três componentes: o índice de vulnerabilidade socioeconômica (infraestrutura, c...

Em função da constatação da crise ambiental vivenciada nas escalas globais, regionais e locais, decorrentes da exploração intensa do patrimônio ambiental, torna-se relevante detectar as mudanças de uso da terra e da cobertura vegetal, a fim de identificar os níveis de degradação ambiental ao longo do tempo. Nesse contexto, surge o projeto Mapbiomas...

RESUMO O Mapeamento Anual da Cobertura e Uso do Solo no Brasil-MapBiomas-é um projeto voltado para a classifi cação da cobertura da terra em imagens dos satélites da série Landsat. Em sua coleção 2, que envolve classifi cações geradas de 2000 a 2016, o MapBiomas utilizou, de 2013 em diante, imagens do Landsat-8 em refl ectância no topo da atmos-fer...

As técnicas de espectrorradiometria tem sido utilizadas para a caracterização e identificação de atributos dos solos. Nesse sentido, o presente trabalho tem por objetivo fazer uma identificação mineralógica de um Vertissolo do município de Curaçá-BA utilizando técnicas de espectrorradiometria de reflectância. A pesquisa foi realizada a partir de tr...

Afim de analisar as áreas ocupadas pela espécie de samambaia invasora Dicranopteris flexuosa no período entre 2002 e 2014, no Vale do Pati (Bahia-Brasil), foram utilizadas técnicas de classificação de imagens de satélite multiespectrais a partir dos algoritmos de classificação supervisionada Redes Neurais e Máxima Verossimilhança. Os resultados apo...

O presente estudo faz parte de uma análise da vegetação do município de Curaçá-BA, utilizando índices de vegetação obtidos na base de dados do Google Earth Engine (GEE). GEE é uma plataforma de armazenamento on-line para o processamento de imagens de Sensoriamento Remoto, atualmente sem custos e com uma série de dados de imagens de satélite das div...

Eucalyptus plantations are increasing in Brazil, frequently replacing pastures, but there is still scarce information about its capacity to maintain the fauna of neighbor forest remnants. In this study, we compared descriptors of the communities of leaf litter organisms (lizards, anurans, myriapods, arachnids, orthopterans, coleopterans, and ants)...